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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 126  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HI 2024-03-19
13:10
Online   A Study on Image Selection for Graduation Albums Based on a Large-scale Pre-trained Model and Face Detection
Hiraku Matsuda, Yuta Muraki (OIT), Kazuyuki Fukuda, Kentaro Wada (DAICOLO CO.,LTD.), Mutsuo Sano (OIT)
When creating a graduation album, there is the task of selecting images to be placed in the layout from among many image... [more] HI2024-21
pp.35-38
AIT, IIEEJ, AS, CG-ARTS 2024-03-05
10:55
Tokyo Tokyo University of Technology Research on stress reduction of interview experience using AR
Masataka Kondo, Tomokazu Isikawa (Toyo Univ.)
We conducted an experiment on the use of AR technology to reduce nervousness during interviews. In the experiment, an HM... [more] AIT2024-46
pp.51-52
AIT, IIEEJ, AS, CG-ARTS 2024-03-05
10:55
Tokyo Tokyo University of Technology Proposal of Handwriting Input Device Based on Hand-held Object Detection and Position-Pose Estimation Using an RGB-D Camera
Chishun Kanayama (Nanzan Univ.)
We propose a method to use a hand-held object as a handwriting input device by detecting objects using an RGB-D camera a... [more] AIT2024-58
pp.91-92
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-20
11:35
Hokkaido Hokkaido Univ. [Special Talk] Prediction of Event Locations from Urgent Call Using Speech Recognition and Generative AI
Masaki Yoshida, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido University)
Operators handling road-related urgent calls are required to pinpoint the event location from information verbally commu... [more] MMS2024-26 ME2024-42 AIT2024-26
pp.128-131
ME 2024-02-10
09:45
Online online A Study of Work Time Reduction Methods for Individual Recognition in Zoo
Kanon Shimodaira, Ayana Rikimaru (NIT,NC)
This study investigated the feasibility of a real-time recognition system with the goal of improving the experience of o... [more] ME2024-1
pp.1-3
ME 2023-12-15
15:30
Niigata Niigata Univ.
(Primary: On-site, Secondary: Online)
Preliminary study on recognition of socks and towels for visually impaired people by multi channelization and CNN
Yuna Sone, Hotaka Takizawa, Akihisa Ohya (Univ. of Tsukuba), Makoto Kobayashi (Tsukuba Univ. of Tech.), Mayumi Aoyagi (Aichi Univ. of Edu.)
In this report, we proposed an image recognition system to support visually impaired people to find socks or towels. Sev... [more] ME2023-107
pp.54-55
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] 2023-09-07
09:50
Osaka Osaka Metropolitan Univ.
(Primary: On-site, Secondary: Online)
Improving Performance of Convolutional Neural Network-Based Driver Behavior Recognition
Shengbiao Wang, Koji Iwano (Tokyo City Univ.)
This study investigates the automatic recognition of driver behaviors using images captured by in-vehicle cameras for th... [more] ME2023-90
pp.7-12
ME 2023-07-21
15:45
Online Online Preliminary study on recognition of upward stairs by use of CNN and multi channelization for visually impaired people
Yuto Narumi, Hotaka Takizawa, Akihisa Ohya (Univ. of Tsukuba), Makoto Kobayashi (Tsukuba Univ. of Technology), Mayumi Aoyagi (Aichi Univ. of Education)
Smartphones are used by many visually impaired people, and the users will increase in the future. In this research, we p... [more] ME2023-66
pp.17-18
IST 2023-06-21
16:10
Tokyo Tokyo University of Science Morito Memorial Hall [Invited Talk] Introduction to Single Exposure HDR CMOS Image Sensors
Shunsuke Okura (Ritsumeikan)
In the development of Internet of Things (IoT), CMOS image sensors are expected to be used under extreme-illumination co... [more] IST2023-27
pp.27-28
IIEEJ, AIT 2023-06-04
10:00
Tokyo TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online)
A Study on Accuracy Recognition of Images using Elimination of Specular Reflection Light -- Trial of Restoration from Peripheral Pixel Information using Spatial Filtering --
Riko Abe, Yuya Dan (Matsuyama Univ.)
As the performance of computer systems improves, image recognition technology expands its scope of application and is be... [more] AIT2023-135
pp.43-46
IIEEJ, AIT 2023-06-04
10:20
Tokyo TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online)
A Study on Pattern Recognition of Upper Body Clothes Using MediaPipePose
Kouki Maeda, Youngha Chang, Nobuhiko Mukai (TCU)
In recent years, there are many studies that focuses on human region extraction and attribute recognition in images and ... [more] AIT2023-136
pp.47-50
IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] 2023-05-19
15:45
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
On-Chip Data Reduction and Object Detection for a Feature Extractable CMOS Image Sensor
Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.)
Society 5.0, in which information from sensors in physical space is analyzed by artificial intelligence (AI) in cyberspa... [more] IST2023-16 ME2023-59
pp.19-24
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
10:25
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
kehai -- The border of the presence due to visibility. --
Yuri Takiguchi, Koyuki Osiro, Aoi Kasai, Hisakazu Hada (TUT)
The seat across from me is obstructed by a partition, and I get the impression that someone is working on a computer, bu... [more] AIT2023-86
pp.183-185
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
10:25
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
Research on methods of presenting advertisements in VR space and their effect
Tatsuya Hasegawa, Hirokazu Yasuhara, Koji Mikami (TUT)
In this study, we investigated whether different methods of presenting advertisements in a VR space would produce differ... [more] AIT2023-92
pp.201-204
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
10:25
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
Automating NPC Reactions Using Acoustic Feature Recognition Technology in Games
Maria Kuroda, Yoshihisa Kanematsu, Suguru Matsuyoshi, Hirokazu Yasuhara, Koji Mikami (TUT)
Speech recognition games are progressing day by day, mainly through the improvement of natural language processing techn... [more] AIT2023-99
pp.227-230
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
10:30
Hokkaido Hokkaido Univ. A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition... [more] MMS2023-1 ME2023-21 AIT2023-1
pp.1-4
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-22
13:30
Hokkaido Hokkaido Univ. A study of the image captioning method with person names
Naotsuna Fujimori, Takahiro Mochizuki (NHK)
We have been working on image captioning techniques with the main goal of automatically generating audio description. In... [more] MMS2023-29 ME2023-49 AIT2023-29
pp.225-230
IEICE-EID, 3DMT, IDY, IEE-OQD, SID-JC [detail] 2022-10-28
14:10
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
A study for realizing 3D VR Interface with a sense of agency by a self-view of body -- Spatial scaling size perceived during virtual cycling --
Hiroyoshi Komobuchi, Susumu Maruno (OIDAI)
We devised a method for numerically estimating the spatial scaling size perceived when riding a bicycle in a 360-degree ... [more] IDY2022-34 3DMT2022-61
pp.9-12
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
11:30
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Implementation of a Lightweight Automatic Speech Recognition System at the Edge
Haotian Tan, Junichi Akita (Kanazawa Univ.)
Automatic speech recognition (ASR) on the cloud has been widely adopted and has demonstrated satisfactory performance. W... [more] IST2022-23 ME2022-63
pp.111-114
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
16:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.)
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more]
 Results 1 - 20 of 126  /  [Next]  
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